Educational data mining: A survey and a data mining-based analysis of recent works

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[1]  Michel C. Desmarais.  Conditions for Effectively Deriving a Q-Matrix from Data with Non-negative Matrix Factorization. Best Paper Award , 2011, EDM.

[2]  Arnon Hershkovitz,et al.  Hierarchical Structures of Content Items in LMS , 2010, EDM.

[3]  Thomas L. Griffiths,et al.  Inferring learners' knowledge from observed actions , 2012, EDM.

[4]  Xiaoxun Sun.  Finding Dependent Test Items: An Information Theory Based Approach , 2012, EDM.

[5]  Sanna Järvelä,et al.  Patterns in elementary school students′ strategic actions in varying learning situations , 2013 .

[6]  Emma Brunskill.  Estimating Prerequisite Structure From Noisy Data , 2011, EDM.

[7]  Ryan Shaun Joazeiro de Baker,et al.  Development of a Workbench to Address the Educational Data Mining Bottleneck , 2012, EDM.

[8]  Arnon Hershkovitz,et al.  Online persistence in higher education web-supported courses , 2011, Internet High. Educ..

[9]  Jon Patton,et al.  Profiles of more and less successful L2 learners: A cluster analysis study , 2012 .

[10]  Ivan Lukovic,et al.  Analyzing Student Spatial Deployment in a Computer Laboratory , 2011, EDM.

[11]  Kalina Yacef,et al.  Can Order of Access to Learning Resources Predict Success? , 2010, EDM.

[12]  Christian D. Schunn,et al.  Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data , 2010, EDM.

[13]  Kalina Yacef,et al.  Process Mining to Support Students' Collaborative Writing , 2010, EDM.

[14]  Sebastián Ventura,et al.  A Java Desktop Tool for Mining Moodle Data , 2011, EDM.

[15]  Alina von Davier,et al.  Quality Control and Data Mining Techniques Applied to Monitoring Scaled Scores , 2011, EDM.

[16]  Zachary A. Pardos,et al.  Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System , 2011, EDM.

[17]  Gökhan Akçapinar,et al.  Prediction of Perceived Disorientation in Online Learning Environment with Random Forest Regression , 2011, EDM.

[18]  Xerox,et al.  From Data to Actionable Knowledge : A Collaborative Effort with Educators , 2011 .

[19]  Andrew Olney,et al.  Mining Collaborative Patterns in Tutorial Dialogues , 2010, EDM 2010.

[20]  Gautam Biswas,et al.  Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning , 2012, EDM.

[21]  I Ignatov Dmitry,et al.  How university entrants are choosing their department? Mining of university admission process with FCA taxonomies , 2011, EDM 2011.

[22]  Wim van den Noortgate,et al.  Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment. Nominee for Best Paper Award , 2011, EDM.

[23]  Kurt VanLehn,et al.  Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions , 2011, EDM.

[24]  Radek Pelánek,et al.  Problem Response Theory and its Application for Tutoring , 2011, EDM.

[25]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[26]  John Shawe-Taylor,et al.  Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.

[27]  Kamelia Stefanova,et al.  Analyzing University Data for Determining Student Profiles and Predicting Performance , 2011, EDM.

[28]  Shauna J. Sweet,et al.  Using the ECD Framework to Support Evidentiary Reasoning in the Context of a Simulation Study for Detecting Learner Differences in Epistemic Games , 2012, EDM 2012.

[29]  Jean-Marc Labat,et al.  Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments , 2010, EDM.

[30]  Jennifer L. Kobrin,et al.  Modeling the Predictive Validity of SAT Mathematics Items Using Item Characteristics , 2011 .

[31]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[32]  John R. Anderson,et al.  Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System , 2010, EDM.

[33]  Neil T. Heffernan,et al.  Leveraging First Response Time into the Knowledge Tracing Model , 2012, EDM.

[34]  Vincent Aleven,et al.  Automatic Rating of User-Generated Math Solutions , 2010, EDM.

[35]  Jesus Boticario,et al.  Towards Improvements on Domain-independent Measurements for Collaborative Assessment , 2011, EDM.

[36]  Dirk Frosch-Wilke,et al.  Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approach , 2013 .

[37]  J. Kim,et al.  A STATE TRANSITION MODEL FOR STUDENT ONLINE DISCUSSIONS , 2011 .

[38]  Rajibussalim.  Mining Students' Interaction Data from a System that Support Learning by Reflection , 2010, EDM.

[39]  J. BARRACOSA,et al.  Anticipating Teachers’ Performance , 2011 .

[40]  Tristan Nixon,et al.  A Method for Finding Prerequisites Within a Curriculum , 2011, EDM.

[41]  Carlos Márquez-Vera,et al.  Predicting School Failure Using Data Mining , 2011, EDM.

[42]  José L. Balcázar,et al.  Towards Parameter-free Data Mining: Mining Educational Data with Yacaree , 2011, EDM.

[43]  Neil Rubens,et al.  Hierarchical Aggregation Prediction Method , 2010 .

[44]  Philip I. Pavlik.  Data Reduction Methods Applied to Understanding Complex Learning Hypotheses , 2010, EDM.

[45]  Jesus Boticario,et al.  Content-free collaborative learning modeling using data mining , 2011, User Modeling and User-Adapted Interaction.

[46]  Alex Paramythis,et al.  Activity sequence modelling and dynamic clustering for personalized e-learning , 2011, User Modeling and User-Adapted Interaction.

[47]  Leigh Ann Sudol-DeLyser,et al.  Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain , 2012, EDM.

[48]  Tzone-I Wang,et al.  A mining-based approach on discovering courses pattern for constructing suitable learning path , 2010, Expert Syst. Appl..

[49]  Tamara Sumner,et al.  Observing Online Curriculum Planning Behavior of Teachers , 2010, EDM.

[50]  Padmini Srinivasan,et al.  Analyzing the language evolution of a science classroom via a topic model , 2011 .

[51]  Yoav Bergner,et al.  Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory , 2012, EDM.

[52]  Osmar R. Zaïane,et al.  Deciding on Feedback Polarity and Timing , 2012, EDM.

[53]  Emma Brunskill,et al.  The Impact on Individualizing Student Models on Necessary Practice Opportunities , 2012, EDM.

[54]  Daniel M. Bolt,et al.  Multiscale Measurement of Extreme Response Style , 2011 .

[55]  Vincent Aleven,et al.  Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra. , 2012, EDM 2012.

[56]  Michael Eagle,et al.  The EDM Vis Tool , 2011, EDM.

[57]  Andrew Olney,et al.  Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity , 2010, EDM.

[58]  Michel C. Desmarais,et al.  On the Faithfulness of Simulated Student Performance Data , 2010, EDM.

[59]  Neil T. Heffernan,et al.  Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data , 2011, EDM.

[60]  Joachim M. Buhmann,et al.  Predicting Graduate-level Performance from Undergraduate Achievements , 2011, EDM.

[61]  Haiyun Bian.  Clustering Student Learning Activity Data , 2010, EDM.

[62]  Yanbo Xu,et al.  Comparison of methods to trace multiple subskills: Is LR-DBN best? , 2012, EDM.

[63]  Anjo Anjewierden,et al.  Brick: Mining Pedagogically Interesting Sequential Patterns , 2011, EDM.

[64]  Neil T. Heffernan,et al.  Representing Student Performance with Partial Credit , 2010, EDM.

[65]  James R. Curran,et al.  Data Mining for Individualised Hints in eLearning , 2009 .

[66]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[67]  Zachary A. Pardos,et al.  Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction , 2012, EDM.

[68]  Joseph E. Beck,et al.  Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling , 2011, EDM.

[69]  Jack Mostow,et al.  Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models , 2012, EDM.

[70]  Arthur C. Graesser,et al.  Automatic Discovery of Speech Act Categories in Educational Games , 2012, EDM.

[71]  QING YANG WANG,et al.  Response Tabling – A simple and practical complement to Knowledge Tracing , 2011 .

[72]  Mykola Pechenizkiy,et al.  Class Association Rules Mining from Students' Test Data , 2010, EDM.

[73]  Serkan Narli,et al.  In the context of multiple intelligences theory, intelligent data analysis of learning styles was based on rough set theory , 2011 .

[74]  Yanbo Xu,et al.  Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! , 2011, EDM.

[75]  Maomi Ueno,et al.  Multiple Test Forms Construction based on Bees Algorithm , 2010, EDM.

[76]  Mustafa Mat Deris,et al.  Applying variable precision rough set model for clustering student suffering study's anxiety , 2012, Expert Syst. Appl..

[77]  Marcelo Worsley,et al.  What's an Expert? Using Learning Analytics to Identify Emergent Markers of Expertise through Automated Speech, Sentiment and Sketch Analysis , 2011, EDM.

[78]  Ayaz Isazadeh,et al.  Data-mining by probability-based patterns , 2008, ITI 2008 - 30th International Conference on Information Technology Interfaces.

[79]  Barbara S. Plake,et al.  Development and Application of Detection Indices for Measuring Guessing Behaviors and Test-Taking Effort in Computerized Adaptive Testing , 2011 .

[80]  Mykola Pechenizkiy,et al.  CurriM: Curriculum Mining , 2012, EDM.

[81]  Shane Dawson,et al.  Mining LMS data to develop an "early warning system" for educators: A proof of concept , 2010, Comput. Educ..

[82]  Evgueni N. Smirnov,et al.  Similarity Functions for Collaborative Master Recommendations , 2012, EDM.

[83]  G. DURAND,et al.  A Learning Design Recommendation System Based on Markov Decision Processes , 2011 .

[84]  Ryan Shaun Joazeiro de Baker,et al.  Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns , 2010, EDM.

[85]  A. Peña,et al.  Educational data mining: a sample of review and study case , 2009 .

[86]  Leah Macfadyen,et al.  Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design , 2010, EDM.

[87]  John S. Kinnebrew,et al.  Comparative Action Sequence Analysis with Hidden Markov Models and Sequence Mining , 2011 .

[88]  Jing Luan,et al.  Data Mining and Its Applications in Higher Education , 2002 .

[89]  Michel C. Desmarais,et al.  Methods to find the number of latent skills , 2012, EDM.

[90]  Andrew Olney,et al.  Using Topic Models to Bridge Coding Schemes of Differing Granularity , 2010, EDM.

[91]  Michael Jahrer,et al.  Collaborative Filtering Applied to Educational Data Mining , 2010 .

[92]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[93]  Ali Buldu,et al.  Data mining application on students’ data , 2010 .

[94]  Ivan Bratko,et al.  Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels , 2010, EDM.

[95]  Ling Tan.  Fit-to-Model Statistics for Evaluating Quality of Bayesian Student Ability Estimation , 2012, EDM.

[96]  Janice D. Gobert,et al.  Leveraging Educational Data Mining for Real-time Performance Assessment of Scientific Inquiry Skills within Microworlds , 2012, EDM 2012.

[97]  Sebastián Ventura,et al.  Mining Rare Association Rules from e-Learning Data , 2010, EDM.

[98]  Uri Wilensky,et al.  Mining students' inquiry actions for understanding of complex systems , 2011, Comput. Educ..

[99]  Jack Mostow,et al.  How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences , 2011, EDM.

[100]  Zachary A. Pardos,et al.  Less is More: Improving the Speed and Prediction Power of Knowledge Tracing by Using Less Data , 2011, EDM.

[101]  Marta E. Zorrilla,et al.  A promising classification method for predicting distance students' performance , 2012, EDM.

[102]  Kristy Elizabeth Boyer,et al.  A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning , 2010, EDM.

[103]  C. D. Hulshof,et al.  Towards educational data mining: Using data mining methods for automated chat analysis and support inquiry learning processes , 2007 .

[104]  Sebastián Ventura,et al.  Educational Data Mining: A Review of the State of the Art , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[105]  Irena Koprinska.  Mining Assessment and Teaching Evaluation Data of Regular, Advanced Stream Students , 2011, EDM.

[106]  Pavlo D. Antonenko,et al.  Using cluster analysis for data mining in educational technology research , 2012, Educational Technology Research and Development.

[107]  Philip I. Pavlik,et al.  A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning , 2011, EDM.

[108]  Joseph E. Beck,et al.  Analysis of a causal modeling approach: a case study with an educational intervention , 2010, EDM.

[109]  Tiffany Barnes,et al.  Automatic Generation of Proof Problems in Deductive Logic , 2011, EDM.

[110]  Jack Mostow,et al.  Predicting Task Completion from Rich but Scarce Data , 2010, EDM.

[111]  Robert J. Mislevy,et al.  Putting ECD into Practice: The Interplay of Theory and Data in Evidence Models within a Digital Learning Environment , 2012, EDM 2012.

[112]  Jack Mostow,et al.  Learning Classifiers From a Relational Database of Tutor Logs , 2011, EDM.

[113]  Sebastián Ventura,et al.  Multiple instance learning for classifying students in learning management systems , 2011, Expert Syst. Appl..

[114]  Shu-Hsien Liao,et al.  Data mining techniques and applications - A decade review from 2000 to 2011 , 2012, Expert Syst. Appl..

[115]  SEN CAI,et al.  Towards Identifying Teacher TopicInterests and Expertise within an Online Social Networking Site , 2011 .

[116]  Mimi Recker,et al.  Understanding Teacher Users of a Digital Library Service: A Clustering Approach , 2011, EDM 2011.

[117]  Neil T. Heffernan,et al.  Pinpointing Learning Moments; A finer grain P(J) model , 2010, EDM.

[118]  Ryan Shaun Joazeiro de Baker,et al.  An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools , 2010, EDM.

[119]  Stuart J. Russell,et al.  Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System , 2011, EDM.

[120]  Pawel Lewicki,et al.  Statistics : methods and applications : a comprehensive reference for science, industry, and data mining , 2006 .

[121]  Kasia Muldner,et al.  An analysis of students’ gaming behaviors in an intelligent tutoring system: predictors and impacts , 2011, User Modeling and User-Adapted Interaction.

[122]  John Fritz,et al.  Classroom walls that talk: Using online course activity data of successful students to raise self-awareness of underperforming peers , 2011, Internet High. Educ..

[123]  Robert Dale,et al.  Student Translations of Natural Language into Logic: The Grade Grinder Corpus Release 1.0. , 2011 .

[124]  Richard Scheines,et al.  Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations , 2012, EDM.

[125]  Kenneth R. Koedinger,et al.  Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing , 2011, EDM.

[126]  Beverly Park Woolf,et al.  Identifying High-Level Student Behavior Using Sequence-based Motif Discovery , 2010, EDM.

[127]  Michael Eagle,et al.  Interaction Networks: Generating High Level Hints Based on Network Community Clusterings , 2012, EDM.

[128]  Arthur C. Graesser,et al.  Mining Bodily Patterns of Affective Experience during Learning , 2010, EDM.

[129]  Sebastián Ventura,et al.  Data Mining in E-learning , 2006 .

[130]  Hung-Chang Liao,et al.  Data mining for adaptive learning in a TESL-based e-learning system , 2011, Expert Syst. Appl..

[131]  Shian-Shyong Tseng,et al.  A personalized learning content adaptation mechanism to meet diverse user needs in mobile learning environments , 2011, User Modeling and User-Adapted Interaction.

[132]  Arthur C. Graesser,et al.  Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning , 2012, EDM.

[133]  Chun-hung Li,et al.  L0-Constrained Regression for Data Mining , 2007, PAKDD.

[134]  Lubos Popelínský,et al.  Predicting drop-out from social behaviour of students , 2012, EDM.

[135]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[136]  Tamara Sumner,et al.  Online Curriculum Planning Behavior of Teachers , 2010, EDM.

[137]  Moffat Mathews,et al.  Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational Systems , 2010, EDM.

[138]  Yue Gong,et al.  Items, Skills, and Transfer Models: Which Really Matters for Student Modeling? , 2011, EDM.

[139]  Ryan Shaun Joazeiro de Baker,et al.  Automatically Detecting a Student's Preparation for Future Learning: Help Use is Key , 2011, EDM.

[140]  Sebastián Ventura,et al.  Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets , 2012, EDM.

[141]  Bernard P. Veldkamp,et al.  Computerized Coding System for Life Narratives to Assess Students' Personality Adaption , 2011, EDM.

[142]  Wim van den Noortgate,et al.  Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System , 2011, EDM.

[143]  Leigh Ann Sudol-DeLyser,et al.  Factors Impacting Novice Code Comprehension in a Tutor for Introductory Computer Science , 2011, EDM.

[144]  Dursun Delen,et al.  Predicting and analyzing secondary education placement-test scores: A data mining approach , 2012, Expert Syst. Appl..

[145]  Kenneth R. Koedinger,et al.  Towards Better Understanding of Transfer in Cognitive Models of Practice , 2011, EDM.

[146]  Tzung-Pei Hong,et al.  Fuzzy data mining for interesting generalized association rules , 2003, Fuzzy Sets Syst..

[147]  Kenneth R. Koedinger,et al.  Automated Student Model Improvement , 2012, EDM.

[148]  Jafar Habibi,et al.  Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning , 2010, EDM.

[149]  Tiffany Barnes,et al.  Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems , 2010, EDM.

[150]  Kurt VanLehn,et al.  Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies , 2011, User Modeling and User-Adapted Interaction.

[151]  Judi McCuaig,et al.  Identifying Successful Learners from Interaction Behaviour , 2012, EDM 2012.

[152]  David Madigan,et al.  Large-Scale Bayesian Logistic Regression for Text Categorization , 2007, Technometrics.

[153]  Alvaro Ortigosa,et al.  A data mining approach to guide students through the enrollment process based on academic performance , 2011, User Modeling and User-Adapted Interaction.

[154]  Víctor Hugo Menéndez-Domínguez,et al.  Using Data Mining in a Recommender System to Search for Learning Objects in Repositories , 2011, EDM.

[155]  Jose Antonio Morán,et al.  Modeling Students' Activity in Online Discussion Forums: A Strategy based on Time Series and Agglomerative Hierarchical Clustering , 2011, EDM.

[156]  Arthur C. Graesser,et al.  Higher Contributions Correlate with Higher Learning Gains , 2010, EDM.

[157]  Vincent Aleven,et al.  Learner Differences in Hint Processing , 2012, EDM.

[158]  Judy Kay,et al.  Speaking (and touching) to learn: a method for mining the digital footprints of face-to-face collaboration , 2012, EDM.

[159]  Zachary A. Pardos,et al.  Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing , 2011, EDM.

[160]  Zhengxin Chen,et al.  A Descriptive Framework for the Field of Data Mining and Knowledge Discovery , 2008, Int. J. Inf. Technol. Decis. Mak..

[161]  So Young Sohn,et al.  Conjoint analysis for recruiting high quality students for college education , 2010, Expert Syst. Appl..

[162]  Michael Yudelson,et al.  Policy Building - An Extension To User Modeling , 2012, EDM.

[163]  Beverly Park Woolf,et al.  Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring , 2010, EDM.

[164]  Ping-Feng Pai,et al.  Analyzing academic achievement of junior high school students by an improved rough set model , 2010, Comput. Educ..

[165]  Arnon Hershkovitz,et al.  Goal Orientation and Changes of Carelessness over Consecutive Trials in Science Inquiry , 2011, EDM.

[166]  Yew Haur Lee,et al.  Mining sentiments in SMS texts for teaching evaluation , 2012, Expert Syst. Appl..

[167]  Jung-Lung Hsu,et al.  EduMiner: Using text mining for automatic formative assessment , 2011, Expert Syst. Appl..

[168]  Marcel Abendroth,et al.  Data Mining Practical Machine Learning Tools And Techniques With Java Implementations , 2016 .

[169]  Gautam Biswas,et al.  Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution , 2012, EDM.

[170]  Stephen Fancsali.  Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results , 2011, EDM.

[171]  Sebastián Ventura,et al.  A collaborative educational association rule mining tool , 2011, Internet High. Educ..

[172]  Gordon McCalla,et al.  Mining Student Behavior Patterns in Reading Comprehension Tasks , 2012, EDM.

[173]  Kenneth R. Koedinger,et al.  The Simple Location Heuristic is Better at Predicting Students' Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic , 2011, EDM.

[174]  Eliana Scheihing,et al.  Analyzing the behavior of a teacher network in a Web 2.0 environment , 2012, EDM.

[175]  Rafi Nachmias,et al.  What Can Instructors and Policy Makers Learn about Web-Supported Learning through Web-Usage Mining , 2011 .

[176]  Dmitry I. Ignatov,et al.  What Can Closed Sets of Students and Their Marks Say? , 2011, EDM.

[177]  Zachary A. Pardos,et al.  Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System , 2011, EDM.

[178]  Chris Mellish,et al.  Advances in Instance Selection for Instance-Based Learning Algorithms , 2002, Data Mining and Knowledge Discovery.

[179]  Zachary A. Pardos,et al.  Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm , 2010, EDM.

[180]  Arnon Hershkovitz,et al.  Types of online hierarchical repository structures , 2011 .

[181]  Marta E. Zorrilla,et al.  E-learning Web Miner: A Data Mining Application to Help Instructors Involved in Virtual Courses , 2011, EDM.

[182]  Robin Cohen,et al.  An Annotations Approach to Peer Tutoring , 2010, EDM.

[183]  Albrecht Fortenbacher,et al.  Learning Paths in a Non-Personalizing e-Learning Environment , 2012, EDM.

[184]  Alvaro Ortigosa,et al.  A Case Study: Data Mining Applied to Student Enrollment , 2010, EDM.

[185]  Rebecca Nugent,et al.  Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers , 2010, EDM.

[186]  Stephen Fancsali.  Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results , 2012, EDM.

[187]  Neil T. Heffernan,et al.  Using multiple Dirichlet distributions to improve parameter plausibility , 2010, EDM.

[188]  Yasser Tabandeh,et al.  Classification of Tutor System Logs with High Categorical Features , 2010 .

[189]  Masayuki Numao,et al.  Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online , 2011, EDM.

[190]  Qiuyong Yang,et al.  Predicting Student Performance: A Solution for the KDD Cup 2010 Challenge , 2010 .

[191]  Cláudia Antunes,et al.  Social Networks Analysis for Quantifying Students' Performance in Teamwork , 2012, EDM.

[192]  Sarah A. Hezlett,et al.  The Validity of the Graduate Record Examination for Master’s and Doctoral Programs: A Meta-Analytic Investigation , 2010 .

[193]  Zachary A. Pardos,et al.  Interleaved Practice with Multiple Representations: Analyses with Knowledge Tracing Based Techniques. , 2012, EDM 2012.

[194]  James C. Lester,et al.  Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models , 2012, EDM.

[195]  George Engelhard,et al.  Using Explanatory Item Response Theory Modeling to Investigate Context Effects of Differential Item Functioning for Students With Disabilities , 2011 .

[196]  Cristina Conati,et al.  A Framework for Capturing Distinguishing User Interaction Behaviors in Novel Interfaces , 2011, EDM.

[197]  Hüseyin Gürüler,et al.  A new student performance analysing system using knowledge discovery in higher educational databases , 2010, Comput. Educ..

[198]  Judy Kay,et al.  Analysing Frequent Sequential Patterns of Collaborative Learning Activity Around an Interactive Tabletop. Nominee for Best Paper Award , 2010, EDM.

[199]  Yutao Wang,et al.  Using Student Modeling to Estimate Student Knowledge Retention. , 2012, EDM 2012.

[200]  Reynold Cheng,et al.  Uncertain Data Mining: An Example in Clustering Location Data , 2006, PAKDD.

[201]  Dhruba K. Bhattacharyya,et al.  Networks, Data Mining and Artificial Intelligence: Trends and Future Directions , 2006 .

[202]  Zachary A. Pardos,et al.  The real world significance of performance prediction , 2012, EDM.

[203]  Hercules Dalianis,et al.  Applied Natural Language Processing: Identification, Investigation and Resolution , 2011 .

[204]  Jin Soung Yoo,et al.  Mining concept maps to understand university students’ learning , 2012, EDM 2012.

[205]  Joseph Psotka,et al.  Intelligent tutoring systems : lessons learned , 1988 .

[206]  Thomas G. Devine,et al.  Improving Pedagogy by Analyzing Relevance and Dependency of Course Learning Outcomes , 2011 .

[207]  Bruce M. McLaren,et al.  Evaluating a Bayesian Student Model of Decimal Misconceptions , 2011, EDM.

[208]  Andreas Frey,et al.  Hypothetical Use of Multidimensional Adaptive Testing for the Assessment of Student Achievement in the Programme for International Student Assessment , 2011 .

[209]  Tiffany Barnes,et al.  EDM Visualization Tool: Watching Students Learn , 2010, EDM.

[210]  N. Heffernan,et al.  Using HMMs and bagged decision trees to leverage rich features of user and skill from an intelligent tutoring system dataset , 2010 .

[211]  Julie Johnson,et al.  Examining Learner Control in a Structured Inquiry Cycle Using Process Mining , 2010, EDM.

[212]  Dave Barker-Plummer,et al.  Using edit distance to analyse errors in a natural language to logic translation corpus , 2012, EDM 2012.

[213]  Zachary A. Pardos,et al.  Spectral Clustering in Educational Data Mining , 2011, EDM.

[214]  Luo Si,et al.  A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems , 2010, EDM 2010.

[215]  Tim Menzies,et al.  Learning patterns of university student retention , 2011, Expert Syst. Appl..

[216]  Agathe Merceron.  Investigating Usage of Resources in LMS with Specific Association Rules , 2011, EDM.

[217]  Naman K. Gupta,et al.  Understanding Instructional Support Needs of Emerging Internet Users for Web-based Information Seeking , 2010, EDM 2010.

[218]  Hao Xu,et al.  Assisting Instructor Assessment of Undergraduate Collaborative Wiki and SVN Activities , 2012, EDM.

[219]  Ryan Shaun Joazeiro de Baker,et al.  Identifying Students' Inquiry Planning Using Machine Learning , 2010, EDM.

[220]  Brent Morgan,et al.  Automated Detection of Mentors and Players in an Educational Game , 2012, EDM.

[221]  Kenneth R. Koedinger,et al.  The Rise of the Super Experiment , 2012, EDM.

[222]  Thomas W. Ferratt,et al.  The use of computer-based information systems by German managers to support decision making , 2004, Inf. Manag..

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